6 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 5 cited
Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
Emma Chen, Aman Kansal, Julie Chen +4
We propose the Multimodal Clinical Benchmark for Emergency Care (MC-BEC), a comprehensive benchmark for evaluating foundation models in Emergency Medicine using a dataset of 100K+…
cs.LG2022★ 3 cited
Active Learning with Expected Error Reduction
Stephen Mussmann, Julia Reisler, Daniel Tsai +3
Active learning has been studied extensively as a method for efficient data collection. Among the many approaches in literature, Expected Error Reduction (EER) (Roy and McCallum) h…
cs.CL2022★ 6 cited
Active Learning Over Multiple Domains in Natural Language Tasks
Shayne Longpre, Julia Reisler, Edward Greg Huang +4
Studies of active learning traditionally assume the target and source data stem from a single domain. However, in realistic applications, practitioners often require active learnin…